Mathematical Methods in Data Science — Bridging Theory and Applications with Python: http://
amzn.to/4b7ZYQ4
——————
#ML #MachineLearning #DataScientist #DataScience #Mathematics #Algorithms
MACHINE LEARNING
-

Mathematical Methods in Data Science: Theory and Python Applications
By
–
-

Impressive O’Reilly Machine Learning AI DataScience Books Collection
By
–
See the impressive collection of @OReillyMedia #MachineLearning / #AI / #DataScience books at: http://
amzn.to/3icyoqJ -

AI Systems Performance Engineering Book Over 1000 Pages
By
–
HOT! Over 1000 pages! "AI Systems Performance Engineering — Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch" Get it at http://
amzn.to/4pRunYJ via @OReillyMedia -

Outlier Detection in Python – Manning Books Resource
By
–
Outlier Detection in Python — http://
amzn.to/49GMXMh v/ @ManningBooks ——————
#Statistics #MachineLearning #ML #DataScientist #Analytics #DataScience -

Essential Guide to Machine Learning for Tabular Data and XGBoost
By
–
Excellent book from @ManningBooks >> #MachineLearning for Tabular Data: XGBoost, Deep Learning, and AI, by @MarkRyanMkm & @lucamassaron Get it here: http://
amzn.to/41J8WA6 • Master XGBoost
• Apply deep learning to tabular data
• Deploy models locally and in the cloud
• -

Streamo: Real-time Streaming Video LLM for Intelligent Assistance
By
–
What if an AI could truly understand live video streams and act as your intelligent assistant, in real-time? Researchers from Hong Kong Baptist University and Tencent Youtu Lab just unveiled a major step forward! They present Streamo, a real-time streaming video LLM. It's trained on a new, massive instruction dataset (Streamo-Instruct-465K) to enable unified understanding across many streaming video tasks. Streamo excels at real-time narration, complex action understanding, event captioning, and time-sensitive Q&A. It bridges the gap between static video analysis and genuinely interactive, intelligent multimodal AI assistants in continuous streams! Streaming Instruction Tuning Project: jiaerxia.github.io/Streamo/ Code: github.com/maifoundations/St… Our report: mp.weixin.qq.com/s/Q28azqwk-… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-03 03:36 UTC
-

Build Text-to-Image Generator with Transformers and Diffusions
By
–
Build a Text-to-Image Generator (from Scratch), with transformers and diffusions: http://
amzn.to/3MFbyK4 by @mark_h_liu v/ @ManningBooks —————
#AI #ML #MachineLearning #DataScience #DataScientist -

AI Researcher Claims Builders Don’t Understand How AI Works
By
–
This #AI Researcher Says the People Building AI Don’t Understand How It Works. Here’s What Every Founder Needs to Know
by Daniel Robbins @Inc Learn more: https://
bit.ly/4cdqf1b #MachineLearning #ArtificialIntelligence #ML #MI -
Recent Interesting Update on Qwen Introspection
By
–
And a more recent, super interesting update: vgel.me/posts/qwen-introspec…
→ View original post on X — @jeremyphoward, 2026-04-03 01:39 UTC
-

Representation Engineering: How AI Models Learn Emotion Concepts
By
–
This work from @voooooogel was pretty ground-breaking: vgel.me/posts/representation… Anthropic (@AnthropicAI) We studied one of our recent models and found that it draws on emotion concepts learned from human text to inhabit its role as “Claude, the AI Assistant”. These representations influence its behavior the way emotions might influence a human. Read more: anthropic.com/research/emoti… — https://nitter.net/AnthropicAI/status/2039749632238944336#m
→ View original post on X — @jeremyphoward, 2026-04-03 01:39 UTC